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20212026
most citedFrom ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy

56 citations · 85 across the 14 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CR2024

Explainability-Informed Targeted Malware Misclassification

Quincy Card, Kshitiz Aryal, Maanak Gupta

In recent years, there has been a surge in malware attacks across critical infrastructures, requiring further research and development of appropriate response and remediation strat…

cs.CR2024

Explainability Guided Adversarial Evasion Attacks on Malware Detectors

Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam +1

As the focus on security of Artificial Intelligence (AI) is becoming paramount, research on crafting and inserting optimal adversarial perturbations has become increasingly critica…

cs.CR2024

SoK: Leveraging Transformers for Malware Analysis

Pradip Kunwar, Kshitiz Aryal, Maanak Gupta +2

The introduction of transformers has been an important breakthrough for AI research and application as transformers are the foundation behind Generative AI. A promising application…

cs.CR2024

Explainable Deep Learning Models for Dynamic and Online Malware Classification

Quincy Card, Daniel Simpson, Kshitiz Aryal +2

In recent years, there has been a significant surge in malware attacks, necessitating more advanced preventive measures and remedial strategies. While several successful AI-based m…

cs.CR2024★ 4 cited

Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File

Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam +1

Windows malware is predominantly available in cyberspace and is a prime target for deliberate adversarial evasion attacks. Although researchers have investigated the adversarial ma…